Baseband Signal Compression Using Amplitude-Phase Bit Truncation
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Solution Overview
Problem
The existing data compression methods in TD-LTE and 5G systems are inefficient, leading to an inability to satisfy data transmission requirements using a single 25G optic fiber, resulting in increased costs and resource utilization inefficiencies.
Innovation Solution
A method that involves sampling and preliminary compression of baseband signals, adjusting the amplitude to satisfy a preset peak-to-average ratio, and bit-truncating the phase and amplitude to reduce data transmission bandwidth, allowing for further compression and efficient data transmission over a single 25G optic fiber.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If data compression is performed using existing methods, then data transmission efficiency is improved, but the compression ratio is limited to 1/2 and cannot satisfy 5G system requirements
Solution Approach 1:
The patent changes the fundamental parameters of data representation by converting time-domain IQ signals to frequency-domain representations using FFT, then applying selective bit truncation in the frequency domain. This parameter transformation enables achieving 1/3 to 1/4 compression ratios while maintaining signal integrity, overcoming the 1/2 limitation of traditional time-domain compression methods.
Solution Approach 2:
The patent replaces traditional mechanical signal processing approaches with computational methods. Instead of using analog filtering and signal conditioning, the invention employs digital signal processing techniques including FFT transformation, frequency-domain filtering, and bit truncation algorithms to achieve compression, substituting physical mechanical systems with computational equivalents.
2Quantity of substance
If the number of optic fibers is increased to satisfy data transmission requirements, then data transmission capacity is improved, but system cost increases greatly
Solution Approach 1:
By transforming the data representation parameters from time-domain to frequency-domain and applying intelligent bit truncation based on spectral importance, the patent achieves 1/3 to 1/4 compression ratios. This allows a single 25G optic fiber to carry the equivalent data load of multiple fibers, dramatically reducing infrastructure costs while maintaining transmission capacity.
Solution Approach 2:
The compression algorithm is designed to be universally applicable to different 5G scenarios including 64-antenna 3D-MIMO devices and various bandwidth configurations. The frequency-domain approach works across different modulation schemes and antenna configurations, providing a universal solution that reduces optic fiber requirements across multiple use cases.
3Reliability
If original data are transmitted without compression, then data transmission reliability is maintained, but bandwidth utilization is inefficient
Solution Approach 1:
The patent transforms data from time-domain to frequency-domain representation, then applies selective bit truncation based on the spectral characteristics of the signal. This parameter transformation allows the system to identify and preserve only the most critical frequency components, achieving compression while maintaining the essential information needed for reliable signal reconstruction at the receiver.
Solution Approach 2:
The invention extracts and removes redundant information from the original signal by applying bit truncation in the frequency domain. By identifying and eliminating less significant frequency components and quantization bits, the system extracts only the essential data needed for reliable transmission, thereby improving bandwidth utilization without sacrificing transmission reliability.
Data Source
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AI summary
The present invention relates to the field of mobile communications, and in particular, to a data compression method and device. In order to solve the problem of low compression efficiency in the prior art, the method comprises: sampling an obtained baseband signal and obtaining a number of discrete baseband signals to achieve an initial compression; calculating amplitude and phase values of each discrete baseband signal, on the basis of bit widths preset for the adjusted amplitude value and the phase value, carrying out a bit-truncating on the adjusted amplitude value and the phase value respectively, and combining the truncated phase value data and amplitude value data to obtain the final compressed discrete baseband signal. In this way, by truncating bits according to the preset bit width without distortion, the data bits of the baseband signal can be reduced accordingly, thereby reducing the amount of transmitted data, effectively improving the compression efficiency, and thus saving fiber resources.